Anthropic Elevates AI Capabilities with Claude Opus 4.6

San Francisco, CA – February 5, 2026 – Anthropic, a leading AI safety and research company, today announced the release of its latest flagship model, Claude Opus 4.6. This substantial upgrade to the Opus line promises to redefine benchmarks in artificial intelligence, particularly in the demanding fields of coding, complex reasoning, and enterprise workflows. Building on the foundation of its predecessor, Opus 4.5, the new model introduces enhanced reliability, precision, and a groundbreaking 1 million token context window in beta.

According to Anthropic’s announcement, Opus 4.6 significantly improves upon existing coding skills. The model exhibits more meticulous planning, sustains agentic tasks for extended durations, and demonstrates greater reliability when operating within expansive codebases. Furthermore, its enhanced code review and debugging capabilities are designed to proactively identify and rectify errors, a critical feature for developers seeking to streamline their workflows. This advancement arrives at a crucial juncture as the AI coding assistant market experiences fierce competition, with rivals like OpenAI’s Codex making notable strides.

Expanding the Horizon: Long-Term Memory and Context Windows

A persistent challenge in the development of advanced AI has been the ability of models to effectively process and recall vast quantities of information over extended periods. AI labs have been actively pursuing larger context windows, but often models have struggled to leverage this extended memory in their outputs. Anthropic acknowledges this limitation, with Opus product manager Dianne Penn stating, "Previously, we would see things like, maybe the model gets lost in the middle, or it might forget details." Opus 4.6 aims to mitigate these issues, with Penn adding, "I wouldn’t say Opus 4.6 is perfect—humans or other past models aren’t perfect—but we think that the quality improvement is pretty significant."

The expanded memory capacity of Opus 4.6 not only aids in handling larger codebases but also enables more complex, long-term projects. This facilitates the creation of collaborative agent teams within Anthropic’s Claude Code assistant, allowing for more sophisticated and coordinated task execution. The company also highlighted improved code review and debugging, underscoring the model's growing autonomy in identifying and fixing its own mistakes.

Beyond Code: Versatility in Everyday Work Tasks

While its coding prowess is a major focus, Claude Opus 4.6 is also engineered to excel in a wide array of everyday work tasks. This includes performing intricate financial analyses, conducting in-depth research, and seamlessly creating or manipulating documents, spreadsheets, and presentations. This enhanced versatility will power Anthropic’s general-purpose work tool, CoWork, enabling it to manage multiple tasks with minimal human oversight.

The model’s performance has been rigorously tested against several industry benchmarks, where it has achieved top scores. Anthropic reports that Opus 4.6 has set new records on evaluations such as Humanity’s Last Exam, a comprehensive multidisciplinary reasoning test; Terminal-Bench 2.0, an agentic coding evaluation; and GDPval-AA, which measures performance on economically valuable knowledge-work tasks across finance, legal, and other sectors. Furthermore, Opus 4.6 reportedly outperforms all other models on OpenAI’s BrowseComp, an assessment of a model’s ability to find obscure information online.

Anthropic has stated that Opus 4.6 will be available to developers using Claude Code at the same price per million tokens as Opus 4.5. It will serve as the default model for Claude Code Pro subscribers and will be offered as an option to all other subscribers, ensuring broad access to its advanced capabilities.

The introduction of Claude Opus 4.6 marks a significant step forward in the evolution of AI, pushing the boundaries of what these systems can achieve in both specialized and general work environments. The company’s continued focus on advancing reasoning and memory capabilities suggests a future where AI assistants are more integrated, capable, and reliable partners in human endeavors.